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Bioinformatics Projects And Applications

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Introduction to bioinformatics and applications

Introduction to bioinformatics and applications

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  • 1. Bioinformatics Projects and Applications Paulsharma Chakravarthy [email_address]
  • 2. Approaches
    • Design and implementation of new algorithms and statistics which assess relationship among members of large data sets.
    • Analysis and interpretation of various data types, which includes nucleotide and amino acid sequences and structure of protein.
    • To develop computational tools and databases that enables efficient analysis, access and management of biologically significant information.
  • 3. Bioinformatics Tools
    • Sequence Analysis
    • Structure Visualization
    • Structural Analysis
    • Molecular Simulation and Dynamics
    • Molecular Docking
    • Cheminformatics Tools
    • Data Mining Tools
  • 4. Various Specialized Application
    • Gene Prediction
    • Genome Annotation
    • Structure Prediction
    • Expression Analysis
    • Drug Discovery
    • Compound Screening
  • 5. Research Projects
    • Analyzing raw experiment data
    • Gene Prediction and Genome Annotation
    • Sequence Analysis of unique genes
    • Codon Usage Analysis
    • Analyzing Microarray expression data
  • 6.
    • Phylogenetics
    • Protein Folding and Structural Analysis
    • Structure prediction and Molecular Modeling
    • Molecular Docking
    • Development of Secondary structure Algorithm
  • 7.
    • Drug discovery
    • Identification of Drug Targets
    • Designing a Bioinformatics Software
    • Designing a Bioinformatics database
    • Comparative Genomics
    • Cancer Genomics
    • Metabolic pathway analysis
    • Metabolic pathway mapping
  • 8.
    • Cheminformatics
    • Molecule screening for drug discovery
    • In silico Drug Likeness
    • In silico ADMET
    • Molecular simulation
    • Web based Applications / web datasets
  • 9. Project Steps
    • Identify a relevant problem
    • Define the problem
    • Literature Review
    • Objective to find solution for the chosen problem
    • Methods
    • Results expected
    • Analysis
    • Interpretation
    • Documentation